EP0317156A1 - Méthode pour analyser des cellules hématopoietiques d'une échontillon - Google Patents

Méthode pour analyser des cellules hématopoietiques d'une échontillon Download PDF

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EP0317156A1
EP0317156A1 EP88310507A EP88310507A EP0317156A1 EP 0317156 A1 EP0317156 A1 EP 0317156A1 EP 88310507 A EP88310507 A EP 88310507A EP 88310507 A EP88310507 A EP 88310507A EP 0317156 A1 EP0317156 A1 EP 0317156A1
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cells
monoclonal antibody
sample
population
leu
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EP0317156B1 (fr
EP0317156B2 (fr
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Michael R. Loken
Virendra O. Sha
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Becton Dickinson and Co
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Becton Dickinson and Co
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
    • G01N33/569—Immunoassay; Biospecific binding assay; Materials therefor for microorganisms, e.g. protozoa, bacteria, viruses
    • G01N33/56966—Animal cells
    • G01N33/56972—White blood cells
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N15/1456—Optical investigation techniques, e.g. flow cytometry without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
    • G01N15/1459—Optical investigation techniques, e.g. flow cytometry without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals the analysis being performed on a sample stream
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N2015/1006—Investigating individual particles for cytology
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N2015/1402—Data analysis by thresholding or gating operations performed on the acquired signals or stored data
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N2015/1477—Multiparameters
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S436/00—Chemistry: analytical and immunological testing
    • Y10S436/80—Fluorescent dyes, e.g. rhodamine

Definitions

  • the present invention relates to the detection and analysis of hematopoietic cells in a sample, and more particularly relates to a method for the detection and analysis of immature and mature cells of different lineages in a bone marrow sample using labeled monoclonal antibodies and the light scattering properties of the cells.
  • Bone marrow is a complex tissue. Principally, marrow is the site for the differentiation and maturation of hematopoietic cells. From pluripotent stem cells, a number of cell lineages differentiate. The primary components among these lineages include: the lymphoid (B, T and NK cells), the erythroid (red blood cells) and the myeloid line (basophils, neutrophils, eosinophils, megakaryocytes and macrophages). At any given time, each of these lineages typically is present in a marrow sample.
  • B lymphoid
  • erythroid red blood cells
  • myeloid line basicophils, neutrophils, eosinophils, megakaryocytes and macrophages.
  • each of the various lineages mature through several stages. Maturation occurs in the marrow and elsewhere.
  • the red blood cell begins in marrow as a blast cell having a defined morphology. From that stage to the reticulocyte stage, a number of additional morphological changes occur throughout a number of stages culminating with the extrusion of the nucleus to form the reticulocyte. The reticulocyte then is released to the blood where it undergoes its final maturational change to become an erythrocyte.
  • Other lineages undergo similar development, although the number of stages of development and the location may differ (e.g. immature T cells begin to develop in marrow but the primary location for maturation and differentiation is in the thymus).
  • the results may provide an indication of a clinical condition. For example, in a patient with anemia, in order to treat the cause of the condition one must know whether it is the result of a destruction of red cells in the blood or the result of a failure of the blast cells to mature. By examining the marrow, the presence (or absence) of stem cells, blasts and reticulocytes in normal amounts can rule out (or confirm) a diagnosis. Thus, by distinguishing a change from the "normal" condition, abnormal events can be diagnosed.
  • the present invention is directed to a method and kit for the identification and analysis of lineages and stages in normal hematopoietic cells.
  • a sample of bone marrow is taken from an individual.
  • the sample is treated to provide a second sample comprising essentially only leukocytes.
  • a first monoclonal antibody is labeled with a first fluorochrome.
  • the first monoclonal antibody is selected so that it reacts with substantially all leukocytes.
  • a second monoclonal antibody is labeled with a second fluorochrome.
  • the second monoclonal antibody is selected so that it reacts with a subpopulation of leukocytes (e.g. , monocytes and granulocytes).
  • the first fluorochrome and second fluorochrome are selected so that each has a similar excitation energy level but have distinct emission spectra.
  • a mixture of the second sample, first fluorochrome labeled monoclonal antibody and second fluorochrome labeled monoclonal antibody then is prepared so as to cause the leukocytes in the second mixture to become labeled with the first monoclonal antibody and the subpopulation of leukocytes to become labeled with the second monoclonal antibody.
  • the mixture then is analyzed by flow cytometry so as to distinguish lineages by cell size and granularity, and at the same time, the distribution of the binding of the first and second antibodies on the cells is recorded.
  • the combination of all four parameters provides data sufficient to distinguish between each lineage and stages within each lineage.
  • the data may be stored in a data collection means, such as a computer.
  • Bone marrow aspirates were obtained from normal adults. Although bone marrow was the source of hematopoietic cells in the following examples, it should be apparent to those skilled in the art that hematopoietic cells also may be isolated from the blood. It is not necessary to alter the method of invention to identify cells from this source.
  • Low density leucocytes obtained by density gradient centrifugation using 1.077 g/cm3, Ficoll-Hypaque, Pharmacia, Piscataway, NJ
  • RPMI 1640 containing 10% fetal bovine serum and aliquoted for immunofluorescent staining.
  • Low-density leukocytes were used to form the first sample. It should be apparent to those skilled in the art, however, that whole blood or marrow aspirates may be used. In such causes, ammonium chloride, for example, may be used to prepare the first sample.
  • Low density marrow leukocytes were suspended at a concentration of 107 per ml.
  • the first antibody was added to 106 cells using an amount of antibody which gave maximal fluorescence.
  • the cells were incubated on ice for 20 minutes.
  • the cells were then pelleted and washed with RPMI 1640 buffer (at least 5 times the staining volume) before adding the second antibody. After 20 minutes on ice, the cells were again washed with buffer, then fixed in 1% paraformaldehyde.
  • cells were reacted first with unconjugated antibody followed by rat anti-mouse Kappa-APC second step antibody. Cells were washed, reacted with 10% normal mouse serum, followed by PE-conjugated and FITC-conjugated antibodies for 20 minutes, washed and fixed as before.
  • Unstained cells, IgG1-FITC, IgG2-PE, and rat anti-mouse Kappa-APC labeled cells were included as controls.
  • bone marrow aspirates prepared as above, were analyzed by flow cytometry.
  • flow cytometers are useful for measuring cell volume, forward light scatter and/or side light scatter. These parameters can then be used to separate lineages based upon their optical or physical characteristics.
  • FLS forward light scatter
  • SLS Side light scatter
  • flow cytometers include one or more, usually two, fluorescent channels. These channels are used to distinguish cells marked with fluorochromes which can be excited to emit light at different wave lengths. Separate antibodies labeled with distinct fluorochromes may be used to distinguish between cell types based on their expression of different cell surface antigens. By combining all four parameters together (i.e. , FLS, SLS, FL1 and FL2), the lineages and their stages can be distinguished in four dimensional space.
  • Flow cytometric analyses were performed using a FACStarTM for two color immunofluorescence and FACS 440TM for three color immunofluorescence (Becton Dickinson Immunocytometry Systems, Mountain View, CA).
  • the argon ion laser was operated at 488nm using 200 mW of power.
  • FITC emission was collected with a 530/30 BP filter, while PE emission was collected through a 585/42 BP filter.
  • Three-color immunofluorescence was performed using a HeNe laser of 633 nm, 40 mW, along with an argon laser as described above.
  • APC emission was collected with a 660/20 BP filter.
  • 50,000 events was collected in list mode on a Consort 30 Data Management System (Becton Dickinson).
  • Fig. 1 it will be seen that three distinct populations of cells appear to be distinguished by the physical parameters of forward and right angle light scattering. These windows have been labeled "LYMPH”, “BLAST” and “GRAN”.
  • the remaining material generally comprises debris (i.e ., ruptured cells and cell or other fragments).
  • Fig. 1 (and indeed all the remaining figures) is shown in 2-dimensional space, it should be apparent that this is done solely for the purpose of presenting the description of the invention in viewable form. It is not the intent to limit the invention to 2-D space; in fact, in the preferred embodiment, the measurements (i.e. , FLS. SLS, FL1 and FL2) are taken in 4-D space.
  • CD45 is an antigen found on substantially all leukocytes.
  • the "CD” or cluster designation was defined by the International Workshops on Human Differentiation Antigens. The parallel "Leu” system was defined by researchers at Stanford University.)
  • Anti-HLe-1 is one such monoclonal antibody.
  • Another such antibody is LCA (Coulter Electronics, Inc.).
  • Anti-HLe-1 is sold commercially both purified and bound to (FITC). If a pure anti-CD45 antibody is used, it may be conjugated to a fluorochrome (e.g. , FITC or PE) by means known to those skilled in the art.
  • a second monoclonal antibody was selected to identify a subpopulation of leukocyte lineages.
  • the second monoclonal antibody identifies two lineages of leukocytes: namely monocytes and granulocytes. These lineages are identified by the CD15 antigen. By selecting a monoclonal antibody for this antigen, these two lineages can be identified.
  • Anti-Leu-M1 is one such anti-CD15 antibody, and another is Myl.
  • anti-CD15 and more specifically Anti-Leu-M1
  • anti-CD11b, anti-CD16 and anti-CD19 i.e. , Anti-Leu-15, Anti-Leu-11 and Anti-Leu-12
  • these and other monoclonal antibodies referred to in the examples may be used in place of anti-CD45 (or Anti-Leu-M1).
  • Anti-Leu-M1 is commercially available in purified form but may be reacted with a second step (PE) conjugated antibody by means known to those skilled in the art in order to be paired with Anti-HLe-1(FITC).
  • PE is chosen because it has a wavelength of excitation substantially similar to that of FITC but emits in a different spectrum.
  • the fluorochrome labeled first and second monoclonal antibodies can be combined with the sample as previously described.
  • Anti-HLe-1(FITC) and Anti-Leu-M1(PE) are the preferred first and second monoclonal antibodies respectively.
  • the "LYMPH” window of bone marrow cells contains a mixture of lymphoid cells (population 2 pre-B cells, population 3 mature lymphoid cells) and mature erythrocytes (population 1a), along with nucleated erythroid precursor cells (population 1a).
  • the "BLAST” window contains immature and mature monocytes (population 4), and immature cells of various blood cell lineages (population 1b early erythroid, 5a early neutrophils and population 6 blast cells).
  • the "GRAN” window consists entirely of maturing granulocytes (population 5b).
  • B lymphoid cells were reacted with Anti-Leu-12(PE) (CD19) in combination with Anti-HLe-1(FITC) to identify all B lymphoid cells, including both immature (population 2) and mature developmental stages (population 3b).
  • the correlation between these two antigens is shown in Fig. 3D. All CD19+ B lymphoid cells were confined to "LYMPH" window. These B lineage cells had three distinct levels of CD45 expression: CD19+/CD45+++ (population 3b), CS19+/CD45++, and CD19+/CD45+ (population 2).
  • bone marrow cells were stained with CD45 in combination with two other monoclonal antibodies: Anti-CALLA(PE), (CD10) an antibody which identifies immature B lymphoid cells (not shown) or Anti-Leu-16(PE), (CD20), which identifies late B cells. Immature B cells expressing CD10 and intermediate levels of CD45 were identified in population 2.
  • NK cells bone marrow cells were stained with Anti-HLe-1(FITC) in combination with either Anti-Leu-11(PE) (CD16) or Anti-Leu-15(PE) (CD11b). These monoclonal antibodies identify NK cells (population 3c) within the "LYMPH” light scattering window. The cells identified by these antibodies within the "LYMPH” light scattering window were bright for CD45+++. (Figs. 4A and 4B.) The cells in the "BLAST" and "GRAN” windows which were labeled with CD16 and CD11b were monomyeloid cells, and are discussed below.
  • Figs. 4B and 5A Cells of the monocytic lineage were identified by staining bone marrow cells with either CD11b or Anti-Leu-M3(PE) (CD14), monoclonal antibodies that bind to mature and maturing monocytes (population 4). The correlated expression of these two markers with CD45 are shown in Figs. 4B and 5A.
  • CD11b antigens on the monocyte lineage could also be identified within the "BLAST" light scattering window.
  • the convex shape of the bivariate plot suggests that the expression of CD11b precedes the change in intensity of CD45 on the maturing monocytes (population 4).
  • the highly correlated expression of CD14 and CD45 indicates that the change in intensity of CD45 during monocytic maturation coincides with the expression of CD14.
  • Other studies have shown that CD11b precedes CD14 expression during monocyte development.
  • the cells expressing CD11b found in the "LYMPH" window, Figure 4B, were shown above to be NK cells (population 3c).
  • CD15 is intensely expressed on granulocytes (population 5a & b) and dimly expressed on monocytes (population 4) (Fig. 2). All maturing granulocytes with the "GRAN” window (population 5b) were intensely positive for CD15 and were intermediately positive for CD45. Within the "BLAST" gate, the more immature myeloid cells (myelocytes, promyelocytes) were brightly positive for CD15 and could be distinguished from the monocytes which were less positive for CD 15 but had higher levels of CD45 (population 4) (Fig. 2).
  • CD11b is expressed later during myeloid development than CD15. Only a portion of the "GRAN” cells (population 5b) expressed CD11b but all expressed CD15. Even fewer cells within the "GRAN” window reacted with CD16 (Fig. 4A). The cells within the "BLAST” window which reacted with CD11b (population 4) (Fig. 4B) were predominantly monocytes since they expressed slightly higher levels of CD45.
  • CD34 human progenitor cell antigen
  • the correlated expression of CD34 and CD45 on progenitor cells is shown in Fig. 5B.
  • the CD34+ cells (population 6) were dimly positive for CD45. From previous studies it has been shown that approximately half of the CD34 positive cells are B lymphoid cells (population 2). These CD34+ immature B lymphoid cells were found in the "LYMPH" window and expressed CD19 and CD10. These cells were the same ones which were identified and discussed above, with the CD19 and CD10 B lineage markers shown in Fig. 3D. However, the remainder of CD34+ cells including myeloid and erythroid progenitors (population 6) which form colonies in in vitro assays were present in "BLAST" window (Fig. 5B) also expressing a low level of CD45.
  • the erythroid cells within the "LYMPH" light scattering window were easily distinguished from other cells within this window by their expression of GPA.
  • the GPA+ erythroid cells ranging from intermediate normoblast to the reticulocyte stage (population 1a), expressed little or no CD45.
  • the mature lymphocytes within this light scattering window including CD3+ T cells (population 3a), CD16+ and CD11b+ NK cells (population 3c) and CD20+ mature B cells (population 3b) all expressed large amounts of the CD45 antigen.
  • This window includes mature T (population 3a), B (population 3b) and NK (population 3c) lymphocytes as well as maturing erythroid (population 1a) and B lymphoid (population 2) cells which can be distinguished based on the amounts of CD45 expressed on their cell surfaces. No cells of the myeloid lineages appear within this light scattering window.
  • CD45 ⁇ The cells with the lowest CD45 antigen expression (CD45 ⁇ ) were erythroid (population 1b), as identified by their expression of GPA.
  • Fig. 2B The cells in this window which expressed the highest amount of CD45 were monocytic (population 4), as evidenced by the co-expression of the monocytic-specific CD14 antigen.
  • These brighter CD45+ cells also expressed high levels of CD11b and intermediate amounts of CD15 antigens.
  • the cells in the "BLAST" window which expressed intermediate amounts of CD45 were further subdivided by their expression of other cell surface antigens. CD15 divided these intermediate CD45+ cells into two populations.
  • the bright CD15+ cells were committed to the neutrophil lineage (population 5a), including promyelocytes and myelocytes.
  • the remaining CD15 ⁇ , CD45+ cells include the CD34+ cells since CD15 and CD34 do not overlap in marrow.
  • the progenitor cells (population 6), as identified in a positive manner by CD34+, were also be detected by the combination of CD45 and CD15.
  • the in vitro assayed progenitor cells (population 6) and presumably the pluripotent stem cells are found in the "BLAST" light scattering window. These cells express low levels of CD45 on their surfaces. As cells are committed to the erythroid lineage, their CD45 expression decreases as they begin expressing erythroid antigens such as GPA. CD45 expression decreases progressively with further maturation of these cells accompanied by a decrease in forward light scattering.
  • progenitor cells As progenitor cells (population 6) become committed to the B lineage (population 2) they maintain CD34 expression and begin expressing CD10 and CD19. This is accompanied by a decrease in their forward light scattering cell size while they maintain a low level of expression of CD45. As the B lineage cells continue to mature, they lose CD34 and increase expression of CD45. The final stages of B lymphoid maturation (population 3b) are characterized by a further increase in CD45 expression, acquisition of CD20, and loss of CD10.

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EP88310507A 1987-11-09 1988-11-08 Méthode pour analyser des cellules hématopoietiques d'une échontillon Expired - Lifetime EP0317156B2 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AT88310507T ATE81724T1 (de) 1987-11-09 1988-11-08 Verfahren zur analyse haematopoietischer zellen in einer probe.

Applications Claiming Priority (2)

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US11849887A 1987-11-09 1987-11-09
US118498 1999-02-03

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EP0317156A1 true EP0317156A1 (fr) 1989-05-24
EP0317156B1 EP0317156B1 (fr) 1992-10-21
EP0317156B2 EP0317156B2 (fr) 1997-11-12

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US (1) US5137809A (fr)
EP (1) EP0317156B2 (fr)
JP (1) JPH06105253B2 (fr)
AT (1) ATE81724T1 (fr)
DE (1) DE3875456T3 (fr)
ES (1) ES2035317T5 (fr)
GR (2) GR3006183T3 (fr)

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EP0509718A1 (fr) * 1991-04-12 1992-10-21 Ortho Diagnostic Systems Inc. Réactif pour la coloration multiple des cellules sanguines et méthode d'analyse
FR2676847A1 (fr) * 1991-05-22 1992-11-27 Immunotech Sa Procede d'enumeration des reticulocytes et les kits destines a cette enumeration.
US5185438A (en) * 1991-04-02 1993-02-09 The Trustees Of Princeton University Nucleic acids encoding hencatoporetic stem cell receptor flk-2
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US5367057A (en) * 1991-04-02 1994-11-22 The Trustees Of Princeton University Tyrosine kinase receptor flk-2 and fragments thereof
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WO2006025028A2 (fr) * 2004-09-01 2006-03-09 H.J.L, Inc. Nouvelle methode de classification des globules sanguins servant de base a des activites therapeutiques et preventives sur mesure
EP1747460A2 (fr) * 2004-05-21 2007-01-31 Beckman Coulter, Inc. Methode de differenciation etendue entierement automatisee basee sur les anticorps monoclonaux
WO2009006629A1 (fr) 2007-07-05 2009-01-08 Becton, Dickinson And Company Procédé d'analyse de globules blancs
US7674598B2 (en) 2004-05-21 2010-03-09 Beckman Coulter, Inc. Method for a fully automated monoclonal antibody-based extended differential
US7972596B2 (en) 2004-11-18 2011-07-05 Imclone Llc Antibodies against vascular endothelial growth factor receptor-1
US8137975B2 (en) 2007-10-29 2012-03-20 Beckman Coulter, Inc. Method for a rapid antibody-based analysis of platelet populations

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US5876956A (en) * 1995-05-15 1999-03-02 Johns Hopkins University School Of Medicine Methods for identification or purification of cells containing an enzymatic intracellular marker
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ATE81724T1 (de) 1992-11-15
EP0317156B1 (fr) 1992-10-21
DE3875456T2 (de) 1993-03-04
DE3875456D1 (de) 1992-11-26
GR3006183T3 (en) 1993-06-21
EP0317156B2 (fr) 1997-11-12
JPH01161153A (ja) 1989-06-23
US5137809A (en) 1992-08-11
ES2035317T3 (es) 1993-04-16
DE3875456T3 (de) 1998-06-10
GR3025901T3 (en) 1998-04-30
JPH06105253B2 (ja) 1994-12-21

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